2 weeks ago - Today we’re announcing the release of fully-managed, remote MCP servers. Google’s existing API infrastructure is now enhanced to support MCP, providing a unified layer across all Google and Google Cloud services.

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September 16, 2025 - The Google Analytics Model Context Protocol (MCP) server lets you connect your Analytics data to an LLM, like Gemini.

July 21, 2025 - MCP servers are designed to connect Google products, such as Google Sheets, to your LLM, like Claude, and simplify most tasks that require time, allowing you to focus on business or more creative tasks.

2 days ago - Google Analytics MCP – Google’s official Model Context Protocol server enabling AI models to query GA4 data directly

June 17, 2025 - Learn how to quickly build and deploy a remote Model Context Protocol (MCP) server to Google Cloud Run, enabling secure and scalable integration of external context with Large Language Models (LLMs).

September 24, 2025 - Data Commons MCP Server is designed for seamless integration into agent development workflows. Here, prompted by a single query in the Gemini CLI client, an AI agent systematically fetches information across many of Data Commons’ complex datasets.

3 days ago - Now, Google has announced the launch of fully managed remote MCP servers that will provide a “unified layer across all Google and Google Cloud services.”

The Model Context Protocol (MCP) is an open-source standard for connecting large language models (LLMs) to external tools and data sources. The Chrome DevTools MCP server adds debugging capabilities to your AI agent.

Server-sent events (SSE): Preferred for remote resources, allowing efficient, real-time data streaming · At its core, the Model Context Protocol allows an LLM to request help from external tools to answer a query or complete a task. Imagine you ask an AI assistant: "Find the latest sales report in our database and email it to my manager." Here is a simplified look at how MCP ...

1 week ago - A comprehensive Model Context Protocol (MCP) server for Google Workspace integration with Claude Desktop. Provides 109 tools for Gmail, Calendar, Sheets, Docs, Drive, plus local storage and personal memory system.

November 18, 2025 - A guide to using the Firebase MCP server to give AI-powered development tools the ability to work with your Firebase projects and your app's codebase.

1 week ago - In addition to offering remote MCP servers, Google Cloud offers several solutions for publishing your own MCP servers. Users connect to published MCP servers over HTTP and can authenticate and interact with them according to the MCP specification.

2 weeks ago - Google is rolling out managed MCP servers to make its services “agent-ready by design,” starting with Maps and BigQuery, aiming to simplify messy integrations and help AI agents use real tools.

This repository contains a list of Google's official Model Context Protocol (MCP) servers, guidance on how to deploy MCP servers to Google Cloud, and examples to get started.

You should see the agent interacting with the MCP file system server, and the server's responses (file listings, file content) relayed through the agent. The adk web console (terminal where you ran the command) might also show logs from the npx process if it outputs to stderr. For Java, refer to the following sample to define an agent that initializes the McpToolset: package agents; import com.google.adk.JsonBaseModel; import com.google.adk.agents.LlmAgent; import com.google.adk.agents.RunConfig; import com.google.adk.runner.InMemoryRunner; import com.google.adk.tools.mcp.McpTool; import com.g

To deploy an MCP server packaged as a container image, you need to have the URL of the container image and the port on which it expects to receive requests. These can be deployed using the following gcloud CLI command: ... IMAGE_URL with the container image URL, for example us-docker.pkg.dev/cloudrun/container/mcp.

1 week ago - Welcome to the tutorial on Google MCP Services, a set of fully-managed remote MCP Servers that span across various Google and Google Cloud…

The gcloud Model Context Protocol (MCP) server enables AI assistants to easily interact with the Google Cloud environment using the gcloud CLI.